Abstract
Currently, although pure electric buses have the advantage of environmental-friendly, its endurance mileage is insufficient and the charging pile is still far away from the actual demand, resulting in a more complicated scheduling. Given this, we studied the driving plan of a pure electric bus, aiming to support the promotion and application of the electric bus. Considering service quality, we built a regional pure electric bus driving plan model and designed an optimal solution based on packing idea and genetic algorithm, aiming at minimizing fleet size, charging facility, and empty driving mileage. We took the electric bus routes operated in a region of Beijing as an empirical example. Compared with the results from the greedy algorithm, we found that the total cost of 544 bus trips with tasks was reduced by 19.6%. Although the average empty driving mileage increased by approximately 20%, the number of pure electric bus vehicles and the required amount of charging infrastructure decreased by 19.7% and 33.3%, respectively. The cost of increasing empty driving mileage was lower than that of the reducing number of buses and charging facilities, indicating that the above three variables reached a balance, and the optimization algorithm is proved to be significantly effective.
Highlights
Transportation industry has long been regarded as one of the major sources of carbon emission and environmental pollution due to the following two main reasons: (1) high emission and pollution of fuel vehicles and (2) high energy consumption resulting from an unreasonable scheduling plan
Ere are several problems left to be solved currently, including solving the short mileage range of pure electric buses to adapt to the trend of developing electric public transport system and insufficient charging facilities, minimizing the number of electric buses, and seeking the optimization algorithm solution under the fact of the extreme large scale of the driving plan problem. erefore, taking the above problems as the point, the paper carried out the research on the optimization of regional pure electric bus driving plan considering the charging pile quantity and the Mathematical Problems in Engineering number of pure electric vehicles in a region and designed the optimization algorithm to realize the reasonable development of urban pure electric bus system
Data Collection. e data in the paper is sourced from four bus routes and two bus terminals (Huangcun Railway Station Bus Terminal Station and Fuyuan Terminal Station). e data includes the timetable of each route, the amount of bus terminals and their respective capacities, the mileage matrix between each bus station and bus terminal, the average speed of the vehicles, the length of each route, the mileage between the first and last station of each route, and the charging time of the pure electric bus
Summary
Transportation industry has long been regarded as one of the major sources of carbon emission and environmental pollution due to the following two main reasons: (1) high emission and pollution of fuel vehicles and (2) high energy consumption resulting from an unreasonable scheduling plan. Ere are several problems left to be solved currently, including solving the short mileage range of pure electric buses to adapt to the trend of developing electric public transport system and insufficient charging facilities, minimizing the number of electric buses, and seeking the optimization algorithm solution under the fact of the extreme large scale of the driving plan problem. Erefore, taking the above problems as the point, the paper carried out the research on the optimization of regional pure electric bus driving plan considering the charging pile quantity and the Mathematical Problems in Engineering number of pure electric vehicles in a region and designed the optimization algorithm to realize the reasonable development of urban pure electric bus system Ere are several problems left to be solved currently, including solving the short mileage range of pure electric buses to adapt to the trend of developing electric public transport system and insufficient charging facilities, minimizing the number of electric buses, and seeking the optimization algorithm solution under the fact of the extreme large scale of the driving plan problem. erefore, taking the above problems as the point, the paper carried out the research on the optimization of regional pure electric bus driving plan considering the charging pile quantity and the Mathematical Problems in Engineering number of pure electric vehicles in a region and designed the optimization algorithm to realize the reasonable development of urban pure electric bus system
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